Home
/
Blog
/
Hiring Tools
/
Enterprise Recruitment - Process & Challenges

Enterprise Recruitment - Process & Challenges

Author
Nischal V Chadaga
Calendar Icon
November 28, 2024
Timer Icon
4 min read
Share

In recent years, recruitment practices have changed tremendously. As the times advanced, organisations took numerous steps towards adopting technology-based recruitment, addressing the various hiring challenges. The COVID-19 pandemic was another major phenomenon that changed companies’ perspectives on talent acquisition and gave birth to a new wave of online recruitment strategies. Enterprise recruitment has changed significantly with shifting employee expectations, workplace dynamics and employee diversity rates. This article will detail the enterprise recruitment process, discuss the prevalent challenges and how to overcome them and a few best practices that can help in the smooth functioning of recruitment processes.

What is Enterprise Recruitment?

Simply put, the enterprise recruitment process involves hiring experts trying to find effective ways to identify, evaluate and finally, employ proficient candidates for roles in diverse verticals across the organisation. The corporate hiring process involves several stages – it starts with identifying vacancies within the organisation, crafting appropriate job descriptions to attract the right talent, and finally, finding the right fit for the job role and organisation. The key performance indicators of employee acquisition strategies are reducing employee turnover and improving retention by increasing employee accountability and satisfaction. The following steps will give you a better understanding of the corporate hiring process.

Identifying workforce needs:

This initial step is part of the workforce planning and management process. HR teams analyze, forecast and plan workforce requirements. This is done by taking account of the organization’s current and future business goals and assessing whether the current workforce is per them. Once a talent gap is identified,

Defining the job requirements:

This may seem like a minor step but it is a crucial one in enterprise recruitment. Crafting the right job description that highlights the required skills, qualifications, and experience necessary for the job role is instrumental in attracting the right talent. If your job description makes sense to the right candidates, then half the job is done.

Developing recruitment strategies:

Once a need is identified and job descriptions are in place, it is time for HR teams to strategize and plan the recruitment process. Employee acquisition strategies address hiring challenges by employing several tactics that help them tackle recruitment bottlenecks and push prospective candidates further down the talent acquisition funnel.

Creating a recruitment blueprint:

Once hiring teams decide on a recruitment strategy that aligns with their organization’s goals and needs, it is time to materialize the idea by creating a recruitment blueprint which is to be presented to the top management. Once the blueprint is approved, the next step is implementation.

Resume screening:

In this phase, recruiters go through candidate applications and resumes to decide whether the candidate is a right fit for the job being advertised and the organization. An Applicant Tracking System (ATS) is employed to automate the screening of resumes based on predefined criteria.

Conducting interviews:

Multiple rounds of interviews and technical assessments are conducted for candidate quality assessment. The current recruitment trends include employing remote hiring solutions like HackeEarth that ensure accurate pre-employment assessment and facilitate multiple interviews in tech recruitment.

Background checks:

This step involves screening candidates’ educational and professional background, thus verifying their genuinity from credible sources. This step is crucial to an organization’s integrity.

Extending offers:

Once background check is cleared, selected candidates are offered job positions.

Technological advancements have paved the way for efficient enterprise recruitment process. However, like any other system, enterprise recruitment has its own set of challenges. Let’s take a look at what they are and how to overcome them.

Recruitment Bottlenecks – What are They & How to Overcome Them?

Like any other system, the enterprise recruitment process has its own challenges to overcome.

For example, larger companies have high-volume hiring challenges like cost-per-hire issues or talent shortage challenges. Similarly, small-scale companies face issues like Time-to-hire, cost-per-hire and employee turnover challenges. From employing recruitment metrics to adopting candidate engagement strategies, HR teams have implemented many alternatives to overcome these issues.

High Volume of Applications

With the increasing inflation, there has been a surge in the demand for jobs. High volume hiring challenge is a pressing issue for major companies. The best way to go around it would be to employ AI-based remote recruitment tools like HackerEarth which help process multiple applications. This issue can be solved in the first phase of the enterprise recruitment process. When brainstorming for employee acquisition strategies, teams must cater for high-volume hiring challenges by considering automation of initial recruitment using AI-powered recruitment solutions.

Attracting Suitable Candidates

Although there is a high supply of candidates and there is high demand for the right ones, organizations still face issues finding suitable candidates for important positions. There are two persisting reasons for this – one, organizations choose the wrong source of hiring and second is incomplete job descriptions. In order to tackle talent shortage challenges, HR teams often make the mistake of posting generic job descriptions. As a result, the wrong candidates apply for jobs. Take time to analyse which job source delivers the best results and decide on one or two solutions for hiring talent. ocusing on a smaller, well-qualified talent pipeline is more effective than sifting through numerous unqualified applicants. Additionally, creating an attractive employer brand is crucial for drawing top talent in competitive markets.

Lack of Proper Workforce Planning

Effective workforce planning is essential for anticipating hiring needs and aligning them with business goals. However, many enterprises face pressure to fill roles quickly without adequate planning, leading to poor hiring decisions that may not align with long-term organizational needs. A reactive approach can result in high turnover rates and increased costs associated with frequent hiring.

Maintaining Candidate Experience

In today’s competitive job market, providing a positive candidate experience is vital for attracting top talent. However, lengthy processes, poor communication, and lack of feedback can deter potential hires from engaging with an organization. Streamlining communication at each stage of the recruitment process helps enhance the candidate experience.

Strategies to Overcome Recruitment Challenges

To navigate these challenges effectively, enterprises can adopt several strategies:

Leverage Technology: Utilizing advanced recruitment technologies such as ATS can automate repetitive tasks like resume screening and scheduling interviews, freeing up recruiters to focus on strategic aspects of hiring.

Enhance Employer Branding: Building a strong employer brand through marketing efforts and showcasing company culture can attract high-quality candidates who resonate with organizational values.

Implement Data-Driven Recruitment: Using data analytics to inform recruitment strategies allows organizations to make informed decisions based on metrics such as time-to-fill and quality of hire.

Centralize Recruitment Efforts: Establishing centralized recruitment teams can standardize processes across departments, ensuring consistency in candidate experience and branding.

Focus on Candidate Engagement: Regular communication with candidates throughout the hiring process helps maintain interest and improves overall candidate experience.

Conclusion

The enterprise recruitment process is critical for large organizations seeking to secure top talent amid various challenges. By understanding the intricacies of this process and proactively addressing common hurdles such as high application volumes, decentralized practices, and inadequate workforce planning, enterprises can enhance their recruitment strategies. Embracing technology and focusing on candidate experience will not only streamline hiring but also contribute to building a robust workforce aligned with organizational goals. In an ever-evolving job market, adapting these practices will be essential for enterprises aiming to thrive through effective talent acquisition strategies.

Subscribe to The HackerEarth Blog

Get expert tips, hacks, and how-tos from the world of tech recruiting to stay on top of your hiring!

Author
Nischal V Chadaga
Calendar Icon
November 28, 2024
Timer Icon
4 min read
Share

Hire top tech talent with our recruitment platform

Access Free Demo
Related reads

Discover more articles

Gain insights to optimize your developer recruitment process.

Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
Top Products

Explore HackerEarth’s top products for Hiring & Innovation

Discover powerful tools designed to streamline hiring, assess talent efficiently, and run seamless hackathons. Explore HackerEarth’s top products that help businesses innovate and grow.
Frame
Hackathons
Engage global developers through innovation
Arrow
Frame 2
Assessments
AI-driven advanced coding assessments
Arrow
Frame 3
FaceCode
Real-time code editor for effective coding interviews
Arrow
Frame 4
L & D
Tailored learning paths for continuous assessments
Arrow
Get A Free Demo